"Exploration of the term '.core' and its references" matching MCP servers:

Enables AI-powered generation, customization, and documentation of its-just-ui React components. Provides tools for component generation, theme management, form creation, responsive layouts, and accessibility guidance.

Enables AI agents to search and read 1C:ITS portal subscription materials, such as development standards, platform documentation, and configuration guides, returning content as Markdown with source links.

Self-hosted MCP server for long-term memory in AI coding assistants, capturing decisions, conventions, and discoveries as structured traces with tag and keyword search.

An MCP filesystem telemetry server that watches directories and records every file change with SHA-256 hashes, enabling verification of edits through tools like recent_changes and query_events, with multi-project support and idle suspension.

Supply chain risk scoring for npm, PyPI, and GitHub repos

MCP server providing structured continuity memory for AI coding agents, tracking decisions, open loops, and session state in local SQLite. Enables agents to resume work from verified state across sessions without replaying transcripts.

Outcome-based persistent memory for AI coding tools.

An MCP server that gives AI coding assistants persistent memory across sessions with chain-based project tracking, tickets, and structured handoffs.

Enables coding agents to publish HTML pages and small sites over MCP, returning a stable link and keeping every version, with access limited to specific people, an organization, or anyone with the link.

Provides shared MCP-server machinery for Flask apps, including streamable HTTP transport, token-based auth, caller identity resolution, tool registry with permissions, and audit logging, enabling developers to build consistent and secure MCP servers.

An MCP server that manages your conversation context automatically, pruning dead branches and keeping an audit trail of every cut.

A local capability layer for AI agents providing persistent memory, credential management, connectors, and activity tracking.

Deterministic execution engine for AI agents. 412 modules across 78 categories including browser automation, file I/O, Docker, data parsing, crypto, and scheduling. Supports STDIO and Streamable HTTP transport with execution trace, evidence snapshots, and replay from any step.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

A simple MCP server that provides a calculator tool for basic arithmetic operations.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.

MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.

Classifies SAP ABAP objects against SAP's official Clean Core release catalog to determine API release status and guide S/4HANA implementation.

Enables AI agents to perform exact, reproducible mechanical computation — text diffing, hashing, JSON querying, calendar arithmetic, deadline-bounded regex extraction, CSV parsing, similarity scoring, unit and base conversion — instead of relying on probabilistic guessing. Runs dependency-free, read-only and offline over stdio, with schema validation and hard caps on every operation so no call can hang the client.